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AgentBay:Mobile Use

Last Updated:Jan 30, 2026

AgentBay Mobile Use is a one-stop automation solution for the mobile application ecosystem. It provides developers with a cloud-based mobile device environment where Artificial Intelligence (AI) agents can accurately simulate mobile user behavior. This simulation enables intelligent control and deep interaction with mobile applications to complete automated workflows. Built on the AgentBay multimodal cloud runtime environment, this solution supports deep operations and data interaction with mobile applications.

Use cases

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  • Mobile application testing

    • Functionality testing: Simulate user operations to verify that mobile application features work correctly.

    • Compatibility testing: Test mobile application compatibility across different Android device environments.

    • Performance testing: Monitor mobile application response speed and resource consumption.

  • Mobile office

    • Document processing: Automatically complete tasks on mobile devices such as document creation, editing, and format conversion.

    • Message management: Automate sending, receiving, categorizing, and replying to instant messages.

    • Mobile communication: Automate summarizing instant messages and refining replies on mobile devices.

  • System administration

    • Application configuration: Automate mobile application settings and configuration tasks.

    • Application installation: Install and configure mobile applications in batches.

    • Maintenance tasks: Automate mobile device maintenance and cleanup tasks.

  • Office automation

    • Process approval: Automate mobile office workflows that require manual approval.

    • Report generation: Automatically generate various business and analysis reports on mobile devices.

    • Data synchronization: Automatically synchronize and update data between different mobile systems.

  • Research and education

    • Experiment control: Automate the control of scientific experiment equipment and processes on mobile devices.

    • Data processing: Automate the processing and analysis of experiment data from mobile devices.

    • Teaching assistance: Automate the organization and distribution of teaching resources on mobile devices.

Core capabilities

  • Mobile native

    • Multi-device simulation: Supports multiple Android OS versions and lets you configure mobile devices with different screen sizes and resolutions. It is compatible with the latest applications.

    • Touch interaction: Supports native touch operations such as tapping, swiping, and long-pressing to simulate real user gestures.

    • Mobile feature support: Supports unique mobile device features such as gravity sensing, GPS positioning, and cameras.

  • Elastic and scalable

    • Fast deployment: You can create and delete cloud phone instances in seconds. Batch operations are supported, shortening the setup time for mobile testing environments.

    • Resource elasticity: You can dynamically adjust cloud phone resource configurations based on task requirements to optimize costs.

    • Multi-instance parallelism: You can run multiple cloud phone instances in parallel to improve testing and development efficiency.

  • Developer friendly

    • Multiple access modes: Supports three access methods, SDK, MCP, and ASP, and various programming languages, such as Python, TypeScript, and Golang.

    • Visual debugging: Supports the ASP streaming protocol to visualize real-time operations, and also provides a session recording feature for easier troubleshooting and process optimization.

    • Serverless architecture: Uses a cloud-native serverless architecture with elastic scaling and pay-as-you-go billing. This architecture reduces the complexity of resource management.

References